There are three generations of deepfake video datasets, which shows the
evolution of deepfake techniques. The UADFV dataset
[1]} belongs to the first-generation. It has 50 video
clips generated by one deepfake method. Its real and fake videos can be
easily detected by human eyes. FaceForensics++ (FF++)
[2]}, Celeb-DF-v1 and Celeb-DF-v2
[3]} belong to the second generation. They have more
video clips with more subjects. It is difficult for humans to
distinguish real and fake faces. DFDC [4]} is
an example of the third-generation dataset. It contains more than 100K
fake videos generated by 8 deepfake techniques and perturbed by 19
distortions types.
